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Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities., , , and . J. Mach. Learn. Res., (2017)Free Lunch for Optimisation under the Universal Distribution., , and . CoRR, (2016)Iterative Budgeted Exponential Search., , , , and . IJCAI, page 1249-1257. ijcai.org, (2019)Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3601-3610. PMLR, (2019)Online Learning to Rank with Features., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3856-3865. PMLR, (2019)Refining the Confidence Level for Optimistic Bandit Strategies.. J. Mach. Learn. Res., (2018)Soft-Bayes: Prod for Mixtures of Experts with Log-Loss., , and . ALT, volume 76 of Proceedings of Machine Learning Research, page 372-399. PMLR, (2017)No Free Lunch versus Occam's Razor in Supervised Learning., and . Algorithmic Probability and Friends, volume 7070 of Lecture Notes in Computer Science, page 223-235. Springer, (2011)Learning with Good Feature Representations in Bandits and in RL with a Generative Model., and . CoRR, (2019)Bandit Algorithms, and . (2019)